Configure Retell AI local development with hot reload and testing. Use when setting up a development environment, configuring test workflows, or establishing a fast iteration cycle with Retell AI. Trigger with phrases like "retellai dev setup", "retellai local development", "retellai dev environment", "develop with retellai".
Execute work with multiple providers through OpenRouter. Use when comparing providers or building provider-agnostic systems. Trigger with phrases like 'openrouter providers', 'openrouter multi-model', 'compare models', 'provider selection'.
Build explore and query the OpenRouter model catalog programmatically. Use when selecting models or checking availability. Trigger with phrases like 'openrouter models', 'list openrouter models', 'openrouter model catalog', 'available models openrouter'.
Create a minimal working Instantly example. Use when starting a new Instantly integration, testing your setup, or learning basic Instantly API patterns. Trigger with phrases like "instantly hello world", "instantly example", "instantly quick start", "simple instantly code".
Conditional Request Helper - Auto-activating skill for API Development. Triggers on: conditional request helper, conditional request helper Part of the API Development skill category.
Optimize Vast.ai costs through tier selection, sampling, and usage monitoring. Use when analyzing Vast.ai billing, reducing API costs, or implementing usage monitoring and budget alerts. Trigger with phrases like "vastai cost", "vastai billing", "reduce vastai costs", "vastai pricing", "vastai expensive", "vastai budget".
Implement common SDK patterns for Kling AI integration. Use when building production applications with Kling AI. Trigger with phrases like 'klingai sdk', 'kling ai client', 'klingai patterns', 'kling ai best practices'.
This skill optimizes prompts for Large Language Models (LLMs) to reduce token usage, lower costs, and improve performance. It analyzes the prompt, identifies areas for simplification and redundancy removal, and rewrites the prompt to be more concise and effective. It is used when the user wants to reduce LLM costs, improve response speed, or enhance the quality of LLM outputs by optimizing the prompt. Trigger terms include "optimize prompt", "reduce LLM cost", "improve prompt performance", "rewrite prompt", "prompt optimization".
Implement LangChain callback and event handling for webhooks. Use when integrating with external systems, implementing streaming, or building event-driven LangChain applications. Trigger with phrases like "langchain callbacks", "langchain webhooks", "langchain events", "langchain streaming", "callback handler".
Install and configure Fireflies.ai SDK/CLI authentication. Use when setting up a new Fireflies.ai integration, configuring API keys, or initializing Fireflies.ai in your project. Trigger with phrases like "install fireflies", "setup fireflies", "fireflies auth", "configure fireflies API key".
Implement real-time streaming transcription with Deepgram. Use when building live transcription, voice interfaces, or real-time audio processing applications. Trigger with phrases like "deepgram streaming", "real-time transcription", "live transcription", "websocket transcription", "voice streaming".
Create a minimal working LangChain example. Use when starting a new LangChain integration, testing your setup, or learning basic LangChain patterns with chains and prompts. Trigger with phrases like "langchain hello world", "langchain example", "langchain quick start", "simple langchain code", "first langchain app".
Analyze, plan, and execute Perplexity SDK upgrades with breaking change detection. Use when upgrading Perplexity SDK versions, detecting deprecations, or migrating to new API versions. Trigger with phrases like "upgrade perplexity", "perplexity migration", "perplexity breaking changes", "update perplexity SDK", "analyze perplexity version".
Execute Vast.ai incident response procedures with triage, mitigation, and postmortem. Use when responding to Vast.ai-related outages, investigating errors, or running post-incident reviews for Vast.ai integration failures. Trigger with phrases like "vastai incident", "vastai outage", "vastai down", "vastai on-call", "vastai emergency", "vastai broken".
This skill optimizes prompts for Large Language Models (LLMs) to reduce token usage, lower costs, and improve performance. It analyzes the prompt, identifies areas for simplification and redundancy removal, and rewrites the prompt to be more concise and effective. It is used when the user wants to reduce LLM costs, improve response speed, or enhance the quality of LLM outputs by optimizing the prompt. Trigger terms include "optimize prompt", "reduce LLM cost", "improve prompt performance", "rewrite prompt", "prompt optimization".
Execute wandb experiment logger operations. Auto-activating skill for ML Training. Triggers on: wandb experiment logger, wandb experiment logger Part of the ML Training skill category. Use when working with wandb experiment logger functionality. Trigger with phrases like "wandb experiment logger", "wandb logger", "wandb".
This skill enables Claude to process and analyze images using computer vision techniques. It's used to perform tasks such as object detection, image classification, and image segmentation. Use this skill when a user requests analysis of an image, asks for identification of objects within an image, or needs help with other computer vision related tasks. Trigger terms include "analyze image", "object detection", "image classification", "image segmentation", "computer vision", "process image", or when the user provides an image and asks for insights.
Execute diagnose and fix common Kling AI API errors. Use when troubleshooting failed video generation or API issues. Trigger with phrases like 'kling ai error', 'klingai not working', 'fix klingai', 'klingai failed'.
Deploy Deepgram integrations to production environments. Use when deploying to cloud platforms, configuring production infrastructure, or setting up Deepgram in containerized environments. Trigger with phrases like "deploy deepgram", "deepgram docker", "deepgram kubernetes", "deepgram production deploy", "deepgram cloud".
Create a minimal working Ideogram example. Use when starting a new Ideogram integration, testing your setup, or learning basic Ideogram API patterns. Trigger with phrases like "ideogram hello world", "ideogram example", "ideogram quick start", "simple ideogram code".
Analyze, plan, and execute Vast.ai SDK upgrades with breaking change detection. Use when upgrading Vast.ai SDK versions, detecting deprecations, or migrating to new API versions. Trigger with phrases like "upgrade vastai", "vastai migration", "vastai breaking changes", "update vastai SDK", "analyze vastai version".
Configure auto-configure Ollama when user needs local LLM deployment, free AI alternatives, or wants to eliminate hosted API costs. Trigger phrases: "install ollama", "local AI", "free LLM", "self-hosted AI", "replace OpenAI", "no API costs". Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.
This skill empowers Claude to construct recommendation systems using collaborative filtering, content-based filtering, or hybrid approaches. It analyzes user preferences, item features, and interaction data to generate personalized recommendations. Use this skill when the user requests to build a recommendation engine, needs help with collaborative filtering, wants to implement content-based filtering, or seeks to rank items based on relevance for a specific user or group of users. It is triggered by requests involving "recommendations", "collaborative filtering", "content-based filtering", "ranking items", or "building a recommender".
Streaming Inference Setup - Auto-activating skill for ML Deployment. Triggers on: streaming inference setup, streaming inference setup Part of the ML Deployment skill category.
